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The AI-powered coder
AICoding agentsBest practices
Master the art of coding with AI assistants. Learn proven patterns, avoid common pitfalls, and build faster without sacrificing code quality. Covers prompt engineering, code review workflows, testing strategies, and maintaining control over agent-assisted code.
Chapters
The AI-assisted development workflow
Understanding how AI coding tools fit into your development process and when to use them effectively.
Prompt engineering for code generation
Writing effective prompts that generate high-quality, maintainable code. Techniques for context management and iterative refinement.
Code review and quality control
Evaluating agent-assisted code, identifying potential issues, and maintaining coding standards when working with AI assistants.
Testing agent-assisted code
Strategies for testing agent-assisted code, including test-driven development with AI and ensuring comprehensive coverage.
Refactoring and iteration patterns
Using AI to refactor existing code, improve architecture, and iterate on designs while maintaining code quality.
Security and best practices
Avoiding common security pitfalls in agent-assisted code, handling sensitive data, and maintaining security standards.
Debugging with AI assistance
Leveraging AI tools to diagnose bugs, understand error messages, and find solutions to complex problems.
Building a personal AI workflow
Creating a sustainable development workflow that leverages AI while maintaining control, quality, and learning.
Goals
Write effective prompts for code generation
Evaluate and review agent-assisted code
Identify security risks in agent-assisted code
Details
Format:
Text, code examples, and quizzes
Audience:
Developers using or planning to use AI coding tools